Design and develop ETL/ELT pipelines for Snowflake and PostgreSQL, optimize data models, manage Snowflake environments, and collaborate on data solutions.
Key Responsibilities:
- Design and develop robust ETL/ELT pipelines to ingest, transform, and load data into Snowflake and PostgreSQL.
- Optimize and maintain data models, schemas, and queries for performance and scalability.
- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver high-quality solutions.
- Manage and monitor Snowflake environments, including storage, compute resources, and user access.
- Implement best practices for data governance, data quality, and data security.
- Develop and maintain documentation for data pipelines, models, and processes.
- Troubleshoot and resolve data issues in a timely manner.
- Participate in code reviews, architecture discussions, and continuous improvement initiatives.
Required Skills & Qualifications:
- 6+ years of professional experience in Data Engineering or a related field.
- Strong expertise in Snowflake – including data warehousing concepts, performance tuning, SnowSQL, and security controls.
- Deep understanding of PostgreSQL – advanced SQL, indexing, query optimization, and data modelling.
- Proficient in programming/scripting languages such as Python or Scala for data processing.
- Experience with ETL tools (e.g., dbt, Apache Airflow, Talend, Informatica).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and services like S3, GCS, or Blob Storage.
- Knowledge of data lake architectures and data integration best practices.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with data cataloguing and lineage tools (e.g., Alation, Collibra).
- Hands-on experience with streaming data (e.g., Kafka, Spark Streaming).
- Familiarity with CI/CD pipelines for data engineering workflows.
- Exposure to DevOps or DataOps practices.
- Certifications in Snowflake, PostgreSQL, or cloud platforms (AWS/GCP/Azure).
- Design and develop robust ETL/ELT pipelines to ingest, transform, and load data into Snowflake and PostgreSQL.
- Optimize and maintain data models, schemas, and queries for performance and scalability.
- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver high-quality solutions.
- Manage and monitor Snowflake environments, including storage, compute resources, and user access.
- Implement best practices for data governance, data quality, and data security.
- Develop and maintain documentation for data pipelines, models, and processes.
- Troubleshoot and resolve data issues in a timely manner.
- Participate in code reviews, architecture discussions, and continuous improvement initiatives.
Required Skills & Qualifications:
- 6+ years of professional experience in Data Engineering or a related field.
- Strong expertise in Snowflake – including data warehousing concepts, performance tuning, SnowSQL, and security controls.
- Deep understanding of PostgreSQL – advanced SQL, indexing, query optimization, and data modelling.
- Proficient in programming/scripting languages such as Python or Scala for data processing.
- Experience with ETL tools (e.g., dbt, Apache Airflow, Talend, Informatica).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and services like S3, GCS, or Blob Storage.
- Knowledge of data lake architectures and data integration best practices.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with data cataloguing and lineage tools (e.g., Alation, Collibra).
- Hands-on experience with streaming data (e.g., Kafka, Spark Streaming).
- Familiarity with CI/CD pipelines for data engineering workflows.
- Exposure to DevOps or DataOps practices.
- Certifications in Snowflake, PostgreSQL, or cloud platforms (AWS/GCP/Azure).
Top Skills
Apache Airflow
AWS
Azure
Dbt
GCP
Informatica
Postgres
Python
Scala
Snowflake
Talend
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and maintain scalable backend services in Go and Python. Implement systems architecture, API security, and CI/CD automation while integrating AI into processes.
Top Skills:
AWSAzureDockerGCPGithub ActionsGitlabGoGrafanaGrpcJenkinsKafkaKubernetesMySQLOpenapiOpentelemetryPostgresPrometheusProtobufPythonRedisTerraform
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Responsible for ensuring performance, scalability, and reliability of services while automating operational tasks, managing deployments, and driving system improvements within cloud environments.
Top Skills:
AnsibleArgocdChefDockerGoGoogle Cloud PlatformKubernetesPowershellPythonTerraform
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Senior Full Stack Engineer will lead both frontend and backend development, design scalable services, and integrate AI features into SaaS applications.
Top Skills:
.NetAngularAWSAzureCSS3DockerGCPGoHTML5JavaScriptKafkaKubernetesPythonRabbitMQReactSQLTypescriptVue
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
